September 20, 2025

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer

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TransKT improves knowledge state estimation by leveraging relationships between learning behaviors across courses.
Using a concept graph guided method, TransKT establishes links between concepts from different courses efficiently.
The approach incorporates a Large Language Model to enhance semantic feature integration for knowledge transfer.
Employing a contrastive objective, TransKT refines the alignment of single-course and cross-course knowledge states.

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Proposed method enhances knowledge transfer across courses in learners, implying better knowledge state predictions.

Han et al. (2025) studied this question.

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